| 田 静1, 王 强1, 周 佳1, 黄卫利2, 胡小平1*.2022年-2023年基于物联网的小麦赤霉病自动监测预警系统应用效果评价[J].植物保护,2024,50(6):270-275. |
| 2022年-2023年基于物联网的小麦赤霉病自动监测预警系统应用效果评价 |
| Evaluation of the application effect of the automatic monitoring and warning system for Fusarium head blight based on the internet of things in 2022 and 2023 |
| 投稿时间：2023-12-23 修订日期：2024-01-25 |
| DOI：10.16688/j.zwbh.2023666 |
| 中文关键词: 小麦赤霉病 物联网 自动监测预警 准确度评价 |
| 英文关键词:Fusarium head blight internet of things automatic monitoring and warning system accuracy evaluation |
| 基金项目:国家重点研发计划（2022YFD1400101-1）；国家自然科学基金（32202265）；国家现代农业产业技术体系建设专项（CARS-03-37）;陕西省科技成果转移与推广计划项目（2022CGBX-06） |
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| 中文摘要: |
| 2022年和2023年调查了安徽、江苏、湖北、河南和陕西共11个县(市)的小麦赤霉病实际发生情况,通过与小麦赤霉病自动监测预警系统的预测结果相比较,评价了该系统的预测准确度。结果表明,2022年除江苏洪泽外,其余地区预测准确度平均为92.5%;2023年除湖北南漳外,其余地区预测准确度平均为97.5%。2022年和2023年水稻-小麦轮作冬麦区预测准确度分别为100%和95%,玉米-小麦轮作冬麦区预测准确度分别为85%和100%,该系统在水稻-小麦和玉米-小麦轮作冬麦区的预测准确度分别97.5%和92.5%,系统运行稳定,可有效指导小麦赤霉病的防控工作。 |
| 英文摘要: |
| In 2022 and 2023, an investigation was conducted on the actual occurrence of Fusarium head blight in 11 counties (cities) in Anhui, Jiangsu, Hubei, Henan, and Shaanxi, and the accuracy of the prediction of Fusarium head blight automatic monitoring and warning system was evaluated by comparing with the prediction results of the system. The results showed that in 2022, except for Hongze in Jiangsu, the average prediction accuracy in other areas was 92.5%. In 2023, except for Nanzhang, Hubei, average the prediction accuracy in other regions was 97.5%. The accuracy in winter wheat areas under rice-wheat rotation in 2022 and 2023 was 100% and 95%, respectively, while that under corn-wheat rotation was 85% and 100%, respectively. The prediction accuracy of the system in the rice wheat and corn wheat rotation winter wheat areas was 97.5% and 92.5%, respectively. The system operates stably, which can effectively guide the prevention and control of Fusarium head blight. |
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